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Article

Performance Evaluation of AquaCrop Model in Processing Tomato Biomass, Fruit Yield and Water Stress Indicator Modelling

1
Institute of Horticultural Science, Hungarian University of Agriculture and Life Sciences, 2100 Gödöllő, Hungary
2
Institute of Environmental Sciences, Hungarian University of Agriculture and Life Sciences, 2100 Gödöllő, Hungary
3
Department of Regional Water Management, Faculty of Water Sciences, National University of Public Service, 6500 Baja, Hungary
4
Department of Research and Development, Univer Product Plc., 6000 Kecskemét, Hungary
*
Author to whom correspondence should be addressed.
Academic Editor: Arturo Alvino
Water 2021, 13(24), 3587; https://doi.org/10.3390/w13243587
Received: 3 November 2021 / Revised: 8 December 2021 / Accepted: 10 December 2021 / Published: 14 December 2021
(This article belongs to the Section Water, Agriculture and Aquaculture)
A three-year long experiment was conducted on open-field tomato with different levels of water shortage stress. Three different water supply levels were set in 2017 and four levels for 2018 and 2019. Biomass and yield data were collected, along with leaf-temperature-based stress measurements on plants. These were used for calibration and validation of the AquaCrop model. The validation gave various results of biomass and yield simulation during the growing season. The largest errors in the prediction occurred in the middle of the growing seasons, but the simulation became more accurate at harvest in general. The prediction of final biomass and yields were good according to the model evaluation indicators. The relative root mean square error (nRMSE) was 12.1 and 13.6% for biomass and yield prediction, respectively. The modeling efficiency (EF) was 0.96 (biomass) and 0.99 (yield), and Willmott’s index of agreement (d) was 0.99 for both predicted parameters at harvest. The lowest nRMSE (4.17) was found in the simulation of final yields of 2018 (the calibration year). The best accuracy of the validation year was reached under mild stress treatment. No high correlation was found between the simulated and measured stress indicators. However, increasing and decreasing trends could be followed especially in the severely stressed treatments. View Full-Text
Keywords: stomatal closure; CWSI; thermal camera; crop growth; simulation; dry matter stomatal closure; CWSI; thermal camera; crop growth; simulation; dry matter
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MDPI and ACS Style

Takács, S.; Csengeri, E.; Pék, Z.; Bíró, T.; Szuvandzsiev, P.; Palotás, G.; Helyes, L. Performance Evaluation of AquaCrop Model in Processing Tomato Biomass, Fruit Yield and Water Stress Indicator Modelling. Water 2021, 13, 3587. https://doi.org/10.3390/w13243587

AMA Style

Takács S, Csengeri E, Pék Z, Bíró T, Szuvandzsiev P, Palotás G, Helyes L. Performance Evaluation of AquaCrop Model in Processing Tomato Biomass, Fruit Yield and Water Stress Indicator Modelling. Water. 2021; 13(24):3587. https://doi.org/10.3390/w13243587

Chicago/Turabian Style

Takács, Sándor, Erzsébet Csengeri, Zoltán Pék, Tibor Bíró, Péter Szuvandzsiev, Gábor Palotás, and Lajos Helyes. 2021. "Performance Evaluation of AquaCrop Model in Processing Tomato Biomass, Fruit Yield and Water Stress Indicator Modelling" Water 13, no. 24: 3587. https://doi.org/10.3390/w13243587

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